507: Bayesian Statistics
Super Data Science: ML & AI Podcast with Jon Krohn
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Bayesian Inference Challenges and Applications in Epidemiology
Discussion on the challenges faced in Bayesian inference around 2007, alternative tools like JAGS and Hamiltonian Monte Carlo, and applications of Bayesian statistics in analyzing trends and disparities in COVID-19 incidents by race in Michigan. The chapter explores addressing missing data using census data, the complexities of high-dimensional data, and incorporating prior information in Bayesian models to optimize solutions.
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